Global development of artificial intelligence in cancer field: a bibliometric analysis range from 1983 to 2022

被引:3
|
作者
Wang, Sui-Han [1 ]
Chen, Guoqiao [1 ]
Zhong, Xin [1 ]
Lin, Tianyu [1 ]
Shen, Yan [2 ]
Fan, Xiaoxiao [1 ]
Cao, Liping [1 ]
机构
[1] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Gen Surg, Hangzhou, Peoples R China
[2] First Peoples Hosp Yu Hang Dist, Dept Gen Surg, Hangzhou, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
artificial intelligence; neoplasms; bibliometric analysis; deep learning; machine learning;
D O I
10.3389/fonc.2023.1215729
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundArtificial intelligence (AI) is widely applied in cancer field nowadays. The aim of this study is to explore the hotspots and trends of AI in cancer research. MethodsThe retrieval term includes four topic words ("tumor," "cancer," "carcinoma," and "artificial intelligence"), which were searched in the database of Web of Science from January 1983 to December 2022. Then, we documented and processed all data, including the country, continent, Journal Impact Factor, and so on using the bibliometric software. ResultsA total of 6,920 papers were collected and analyzed. We presented the annual publications and citations, most productive countries/regions, most influential scholars, the collaborations of journals and institutions, and research focus and hotspots in AI-based cancer research. ConclusionThis study systematically summarizes the current research overview of AI in cancer research so as to lay the foundation for future research.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Entrepreneurship and artificial intelligence: a bibliometric analysis
    Redondo-Rodriguez, Maria Dolores
    Diaz-Garrido, Eloisa
    Yabar, Diana C. Perez-Bustamante
    Ramon-Jeronimo, Maria angeles
    JOURNAL OF TECHNOLOGY TRANSFER, 2024,
  • [32] Bibliometric Analysis of Artificial Intelligence in Textiles
    Halepoto, Habiba
    Gong, Tao
    Noor, Saleha
    Memon, Hafeezullah
    MATERIALS, 2022, 15 (08)
  • [33] Artificial intelligence in healthcare: A bibliometric analysis
    Jimma, Bahiru Legesse
    TELEMATICS AND INFORMATICS REPORTS, 2023, 9
  • [34] Artificial intelligence in anesthesiology: a bibliometric analysis
    Xie, Bi-Hua
    Li, Ting-Ting
    Ma, Feng-Ting
    Li, Qi-Jun
    Xiao, Qiu-Xia
    Xiong, Liu-Lin
    Liu, Fei
    PERIOPERATIVE MEDICINE, 2024, 13 (01)
  • [35] Bibliometric analysis of artificial intelligence in sport
    Navarro, Jose Ramon Sanabria
    Nunez, William Alejandro Niebles
    Perez, Yahilina Silveira
    RETOS-NUEVAS TENDENCIAS EN EDUCACION FISICA DEPORTE Y RECREACION, 2024, (54): : 312 - 319
  • [36] Artificial Intelligence in Neurosurgery: A Bibliometric Analysis
    El-Hajj, Victor Gabriel
    Gharios, Maria
    Edstrom, Erik
    Elmi-Terander, Adrian
    WORLD NEUROSURGERY, 2023, 171 : 152 - +
  • [37] Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019
    Iván Manuel De la Vega Hernández
    Angel Serrano Urdaneta
    Elias Carayannis
    Artificial Intelligence Review, 2023, 56 : 1699 - 1729
  • [38] Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis
    Qu, Mengqi
    Xu, Yang
    Lu, Lu
    BRAIN RESEARCH BULLETIN, 2024, 209
  • [39] Global research trends in tongue cancer from 2000 to 2022: bibliometric and visualized analysis
    Wu, Beibei
    Zhang, Tong
    Dai, Ning
    Luo, Ding
    Wang, Xuejie
    Qiao, Chen
    Liu, Jian
    CLINICAL ORAL INVESTIGATIONS, 2024, 28 (02)
  • [40] Global research trends in tongue cancer from 2000 to 2022: bibliometric and visualized analysis
    Beibei Wu
    Tong Zhang
    Ning Dai
    Ding Luo
    Xuejie Wang
    Chen Qiao
    Jian Liu
    Clinical Oral Investigations, 28